#workoutwednesday | Data Visualization | Tableau

#WorkoutWednesday wk 33 – What Customers make up XX% Sales?

Community #WorkoutWednesday challenge this week was set by Donna Coles and it was about Pareto chart with certain twists. Here, Requirement was to create Pareto chart to see what proportion of customers make up sales with an option of sliding parameter and few tooltips to make it user friendly along with ease of understanding.

Requirements: 

  • Dashboard 800 x 800.
  • Selection of the Sales Percentage slider will adjust the highlighted point.
  • Sales Percentage slider should increment in 10s from 10%-90%.
  • % values displayed to 1 decimal point.
  • The Sales Percentage mark highlighted should be the value that is at least the value selected in the slider (eg when 60% is selected, the mark highlighted is 60.1% as the previous mark is 59.9% which is less than the slider value).
  • The tooltips on the curve differ from that on the highlighted mark.
  • The tooltip on the highlighted mark should also indicate the actual number of customers at that point, as well as the total number of customers.
  • Rebuild everything to be identical, matching titles, tooltips, chart formatting.

Data for the workout can be downloaded from here

Here is my output for the challenge (Click on gif for interactive version):

Here are the steps which I undertook to create this dashboard and complete the challenge

Step 1: Create the Parameter as per requirement to select Sales %

Step 2: Create calculated fields required to create the visualisation and calculations

My attempt was to create the dashboard with minimum steps. I created 6 calculated fields + 2 copies of calc fields

% of customers: On X-axis we need to show the running % for distinct customers

% of Sales: on Y-Axis we need to show running % for sales

Customer Point: This field is to show “% of customers” when “Sales %” is >= “% of Sales” field

Dot: Here we will use lookup function to find previous value of “Customer Point”. This field is to circle the position and highlight % of customers basis of % of sales (if 80% sales is selected then to show point at 49.9%)

Fixed Customers: This field to count the distinct number of customers

Sales Point: This field was more of after thought after re-looking at the requirements. This field we will show “% of sales” when “Sales %” is >= “% of Sales” field (if 80% selected then to show 80.1%)

Then, duplicate the “% of customers” and “% of Sales” Field for the purpose of tooltip and format this with 1 decimal point.

 

Step 3: Create the Sheet for the viz

Drag “% of Customers” and “Dot” field to column shelf then drag “% of sales” to row shelf

Select Customer Name and drag that field to details in Marks area then sort the field descending by sales

Select the graph type as “Area chart” for “% of customers” and “Circle” for “Dot” Field

Now, select “Dual Axis” on Dot field on column shelf then synchronize the axis and remove the “Measure Names” from color shelf

select “Grey” color for the area chart and “Black” color for circle Chart

For the reference lines on sales & customer, drag “Customer point” and “Sales Point” to Marks area

Right click on Y-axis and select add reference line, then select sales point from drop down and set as minimum

Similarly, Right click on X-axis and select add reference line, then select Customer point from drop down and set as minimum

Post this step, your viz is ready and will look like this:

Tooltip: drag “% of sales” , “% of customers”, “Fixed customers” into marks area for “Dot” field and additionally we will have distinct count of customer id on the basis customer name then we will modified the tooltip to see our requirement

Format the sheet and clean it up to meet the requirements and add the sheet into dashboard with few cosmetic changes.

And we are ready with final visualization as show above.

Click here for Tableau file

Thanks Donna Coles for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

3
#workoutwednesday | Data Visualization | Tableau

#WorkoutWednesday wk 32 – Coloring between the lines

#WorkoutWednesday challenge this week was set by @rosariogaunag and it was about coloring between the lines. Here in this viz challenge, we are going to use Area charts to showcase different colors based the lines along with it has dynamic text + values on dashboard on hover. I like how it covers small things which improves the visualization and makes it tempting & simple for user to understand.

Requirements: 

  • Dashboard size: 800 x 700.
  • Use per capita calculations.
  • You must be able to select data from a specific country or the world itself.
  • You must be able to select between Ecological FootPrint Production and Ecological FootPrint Consumption.
  • The green line should be biological capacity per capita.
  • The red line should be ecological footprint per capita.
  • If the Biological Capacity is greater than the Ecological Footprint, it means that we have a positive reserve and the area between the two lines must be shaded in green.
  • In the opposite case, it means that there is a deficit and the area between the two lines must be shaded in red.
  • When you move the cursor over the graph subtitles should update to the selected year.
  • When you move the cursor over the graph the subtitle of the difference between Capacity and Ecological Footprint should be green if there is a reserve (+) or red if there is a deficit (-) in the year.
  • Rebuild everything to look identical. Make sure you match titles, tooltips, etc.

Data for the workout can be downloaded from here

Here is my output for the challenge (Click on gif for interactive version):

Let me share the steps required to create this visualisation post data is imported into Tableau:

Step 1: Create Parameter to select the type of Ecological footprint “Select EF”

Step 2: Lets create all the necessary calculated fields which we will use in the visualisation

BioCap – This field to derive biological capacity values from the dataset

EcoFootPrint – This field to derive Ecological footprint based on parameter “Select EF”

For the display the color between the lines following calculated fields we need:

Green: To create an area where difference between Biological capacity and Ecological footprint is positive else 0 as value

Red: To create an area where different between Ecological footprint and Biological capacity is positive else 0 as value

White: To create an area where whichever is minimum of biological capacity or ecological footprint is selected as value

Diff: Difference between Biological capacity and Ecological capacity

Display: Label field to show Reserve or deficit based on “Diff” value

Color: Binary field to show different color for “Diff” Value

Step 3: Create First sheet “BioCap”

Drag “Biocap” and “Record” Field to Text area

Drag “country” field to filters then set it to apply for all worksheets using this source and show filters with single dropdown

Drag “Record” field to filters and select Biological capacity as filter

Format the Text based on requirement and arrange them as per following image

Step 4: Create “EcoFootPrint” Sheet

Drag “EcoFootPrint” and “Record” Field to Text area then you will country filter automatically appearing in filters

Drag “Record” field to filters, go to condition tab then select “By Formula” and enter “[Record]= [Select EF]”

Format the text based on requirement and arrange them as per following image:

Step 5: Create “Diff” Sheet

Drag “Diff” and “Display” field to Text and “Color” field to color in marks area then allocate Green color for True and Red for False value

Format the text based on requirement and arrange them as per following image:

Step 6: Create “LineGraph” Sheet

Drag “Year” into column shelf followed by drag “Measure values” into Rows shelf then filter the field by selecting “Red”, “Green” and “White”

Change the chart type to “Area” Chart

Drag “Measure Names” to color shelf and allocate respective color based on field name and we will see following output:

Now drag “Total” field to rows shelf and change the chart into dual axis then select “Line” chart from the Marks area

Drag “Record” field to color shelf and filter shelf then go conditions and apply following formula “Record]=”BiocapPerCap” OR
[Record]= [Select EF]”

Also, change the color for Biological capacity to Green and Ecological footprint to Red for both options of parameter

Step 7: Create “Subtitle” sheet

Drag “Country” and “Year” field to Text area and drag “color” field to color shelf and apply red and green value for true and false value respectively.

Step 8: Create the Dashboard 

Now time comes to create the magic, arrange all the sheets into dashboard and set the size of dashboard as 800 * 700 to look like this:

Then we need to do create action filter on hover, so select Dashboard –> Action –> add action -filter and set the filter on all sheet on the basis of Year

Now do the final aesthetic changes like formatting and tooltips to get the final output as per our requirement

we are ready with final visualization as show above.

Click here for Tableau file

Thanks Rosario Gauna for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

2
#MakeoverMonday | Data Visualization | Tableau

#Makeover Monday wk 32 – How Much Countries Spends on R&D

For #MakeoverMonday week 32, The makeover viz was about how much countries spends on Research & Development and the original viz was shared on HowMuch.net

Here is the original viz :

Original Image

Data is available on data.world and source of data was UNESCO Institute for Statistics

Whats good?

  • Clear Legends on specifying what color in the circle means in terms of spends
  • Design is eye-catching with too much of information for an individual to understand
  • Source of data is mentioned
  • Title which is self explanatory about the viz

Here is what I did:

  • After trying various methods to visualize this data, I finalize one approach of showing Top 10 countries by spends
  • Additionally I wanted show trend on spends by this countries and also compare 2 years i.e. 2015 vs 2014 to show the increase in spends by countries on R&D (Exception was India as dataset didn’t have 2012 to 2014 data)
  • While building the viz and trying to figure out visualization I came across this viz from Rody Zakovich and tried to replicate the similar design.

Here is the Image of the visualisation I created (Click on image to get interactive version):

Click here for Tableau file

Thanks Eva Murray and Andy Kriebel for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

#workoutwednesday | Data Visualization | Tableau

#Workoutwednesday wk 31: Dynamic Color Legend

This month is community submission month where each week one of the community submission will be pick for challenge , this week #workoutwednesday challenge is set by Sean Miller and it was about dynamic sheets + dynamic color legends on selection of particular parameter from the dashboard. This dashboard has parameter which will show choropleth map with legends on one selection while bar chart on other selection without legend.

Requirements: 

  • Dashboard size: 800 x 800. Total sheets are part of the challenge.
  • Allow users to select between sales and profit as the measure.
  • The map should have the corresponding measure on color.
  • When the map is active, the color legend and min/max values should show. When subcategory is active the legend and values show be hidden.
  • The color legend should be a stacked bar.
  • The title should update appropriately.

Data for the workout can be downloaded from here

Here is my output for the challenge (Click on Image for interactive version):

It took me time to understand the requirement and figure out the way to design the visualisation. lookup() & windows functions did help a lot to build this requirement

Let me share the steps required to create this visualisation post data is imported into Tableau:

Step 1: Create parameters for the visualisation

View by: For Measure selection

What do you want analyze? : To select State or Sub-category

Step 2: Create an calculated fields required for visualisation

ViewBy: To select the measures on parameter selection

selection: To select the sheet to show or hide on basis of “What do you want to analyze?”

State – Label: This is for max/ min legend

Step 3: Create different sheets for the requirements

Map:

Select State from dimension tab and ViewBy in measures then select Choropleth Map from show me to create the visualisation

Now drag selection field to filter –> select all values –> atmost 1

then right click on both the parameters and select show parameter control with this we have this screen:

Bar: 

Drag Viewby field in column shelf and sub-category to rows shelf then right click both parameters to show parameters control on the sheet. Now, Drag selection field into filter –> select all values –> atleast 2

Legend:

Select State from dimension to column shelf then ViewBy field to color shelf. (unselect show headers)

Now drag selection field to filter –> select all values –> atmost 1

Min:

Select State-Label field and drag to text in the sheet and then set measure value as minimum

Now drag selection field to filter –> select all values –> atmost 1

Max: Repeat same steps like Min sheet just change the measure value to maximum

Step 4: Create the Dashboard

Drag the vertical objects to the blank dashboard then drag Map and Bar sheet to dashboard then align the other 3 sheets (Min, Legend and Max) on the top right side corner below the parameters

Now we are ready with final visualization.

Click here for Tableau file

Thanks Sean Miller for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

#MakeoverMonday | Data Visualization | Tableau

#Makeover Monday wk 31 – Big Mac Index

For #MakeoverMonday week 31, this week’s makeover viz was about The Big Mac Index by The Economist. This index was based on “Big Mac Hamburger” price across various countries where it is sold to analyse the purchasing power parity.

Here is the original viz :

Data is available on data.world and source of data was The Economist

Whats good?

  • Clear Legends showing price of Jul’17 and Jan’18 along with Price of Big Mac price in US Dollar
  • Zero reference line to see the difference and sorting the countries with latest prices
  • Sub-titles explaining the overvalued and undervalued with signs along with caveats

Here is what I did:

  • Rather then using price of last 2 years, I selected price of last 10 years starting Jul’2009 and used only July prices for all the years
  • Designed an jitter plot to show the plot the country wise price variation in comparison to US price
  • Interactive tooltip to show Big Mac price in various countries with there overvalued and undervalued against US dollar and highlight option to select a country for trend

Here is the Image of the visualisation I created (Click on image to get interactive version):

Click here for Tableau file

Thanks Eva Murray & Andy Kriebel for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.